37
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

A gravity inspired clustering algorithm for gene selection from high-dimensional microarray data

, ORCID Icon &
Pages 421-435 | Received 25 May 2022, Accepted 21 Apr 2023, Published online: 07 May 2023

References

  • Makigaki S, Ishida T. Sequence alignment using machine learning for accurate template-based protein structure prediction. Bioinformatics. 2020;36(1):104–111.
  • Chen Z, Gong F, Wan L, et al. Robustclone: a robust PCA method for tumor clone and evolution inference from single-cell sequencing data. Bioinformatics. 2020;36(11):3299–3306.
  • Zhang R, Nie F, Li X, et al. Feature selection with multi- view data: A survey. InformationFusion. 2019;50:158–167.
  • Ang JC, Mirzal A, Haron H, et al. Supervised,unsupervised, and semi-supervised feature selection: a review on gene selection. IEEE/ACM Trans Comput Biol Bioinf. 2015;13(5):971–989.
  • Almugren N, Alshamlan H. A survey on hybrid feature selection methods in microarray gene expression data for cancer classification. IEEE Access. 2019; (7): 78533–78548.
  • Nakariyakul S. A hybrid gene selection algorithm based on interaction information for microarray-based cancer classification. PloSone. 2019;14(2):1–17.
  • Mav D, Shah RR, Howard BE, et al. A hybrid gene selection approach to create the S1500 + targeted gene sets for use in high-throughput transcriptomics. PloS one. 2018;13(2):1–19.
  • Rashid M, Vishwakarma RK, Deeb AM, et al. Molecular classification of colorectal cancer using the gene expression profile of tumor samples. Exp Biol Med. 2019 Sep;244(12):1005–1016.
  • Abd-el Fattah IM, Khedr WI, Sallam KM. A TOP-SIS based method for gene selection for cancer classification. Int J Comput App. 2013; 67:39–44.
  • Elyasigomari V, Lee DA, Screen HR, et al. Development of a two-stage gene selection method that incorporates a novel hybrid approach using the cuckoo optimization algorithm and harmony search for cancer classification. J Biomed Inform. 2017;67:11–20.
  • Munjal G, Hanmandlu M, Srivastava S. Novel gene selection method for breast cancer classification. J. Biochem. Technol. 2017; 8(4): 1116–1120 .
  • Al-Batah M, Zaqaibeh B, Alomari SA, et al. Gene microarray cancer classification using correlation based feature selection algorithm and rules classifiers. Int J Online Biomed Eng. 2019; 15(8): 62–73.
  • Baliarsingh SK, Vipsita S, Muhammad K, et al. Analysis of high-dimensional genomic data employing a novel bio-inspired algorithm. Appl Soft Comput. 2019;77:520–532.
  • Shen NN, Zhang C, Li Z, et al. MicroRNA expression signatures of atrial fibrillation: the critical systematic review and bioinformatics analysis. Exp Biol Med. 2020 Jan;245(1):42–53.
  • Mafarja M, Aljarah I, Faris H, et al. Binary grasshopper optimisation algorithm approaches for feature selection problems. Expert Syst Appl. 2019;117:267–286.
  • Binder M, Moosbauer J, Thomas J, et al. Multi- objective hyperparameter tuning and feature selection using filter ensembles). Proceedings of the 2020 genetic and evolutionary computation conference.
  • Brindha V, Jayashree P. Fusion of radiological images of glioblastoma multiforme using weighted average and maximum selection method). 2019 11th international conference on advanced computing (ICoAC); 2019;328–332. IEEE.
  • Li J, Dong W, Meng D. Grouped gene selection of cancer via adaptive sparse group lasso based on conditional mutual information. IEEE/ACM Trans Comput Biol Bioinf. 2017;15(6):2028–2038.
  • Patil AR, Kim S. Combination of ensembles of regularized regression models with resampling-based lasso feature selection in high dimensional data. Mathematics. 2020;8(1):1–23.
  • Ming D, Ding C, Nie F. A probabilistic derivation of lasso and l12-norm feature selections. In Proceedings of the AAAI Conference on Artificial Intelligence. 2019; 33(1): 4586–4593.
  • Zhu Z, Ong Y-S, Dash M. Markov blanket-embedded genetic algorithm for gene selection. Pattern Recognit. 2007;40(11):3236–3248.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.